Наследие выдающегося ученого (к 190-летию со дня рождения П.П. Семёнова-Тян-Шанского)
The Annual Report about cultural heritage was prepared for the first time in the history of the country. It helps to estimate all the quantity of cultural heritage objects – 125.5 thousands monuments of history and culture; 5.5 thousands ensembles with 18.9 thousands monuments and 1.6 thousands outstanding places. An addition there is 113 thousands of new revealed objects, which can be cultural objects in nearest future.
Condition of the cultural heritage object in all regions of Russian Federation was revealed, too. More than 54 percents of cultural monuments are in good condition, but 18 percents of them are in danger and need urgent restoration works. The wide spectrum of problems with cultural heritage objects discussed: undergoing of natural and anthropogenic pressure; protecting zone projecting, restoration of the objects, etc.
New trend in protection of the cultural heritage is the cultural-landscape point of view. It needs to increase the list of outstanding places in the country and to increase the role of museums-reserves as integrated instrument of protecting historical territories and local economy development.
The paper aims to discuss the multifaceted links between the marine environment of the Gulf of Finland and the representations of the large complex of cultural heritage related to the city of St. Petersburg. The paper is based on a spatial imaginary of Greater St. Petersburg as the cultural and technological unity of the city and adjacent waterscapes in the times of the Russian Empire. This concept is instrumental to see the historical links between the parts of the heritage complex that has by now disintegrated and has been separated by state borders.
The article contains analysis of the problems of historical and cultural heritage protection. The execution of powers for the protection of historical and cultural heritage of the Executive authorities of the Russian Federation and of the Subjects of Russia are considered.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.